Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study
Abstract Background To construct a CT-based radiomics nomogram, enabling the estimation of overall survival (OS) in small cell lung cancer (SCLC) patients and facilitating the identification of prophylactic cranial irradiation (PCI) beneficiaries through risk stratification using the radiomics score...
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BMC
2024-12-01
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| Online Access: | https://doi.org/10.1186/s12885-024-13274-7 |
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| author | Xiaomin Zheng Kaicai Liu Zhao Gao Cuiping Li Li Tong Chang Rong Shuai Li Yichao Liu Xingwang Wu |
| author_facet | Xiaomin Zheng Kaicai Liu Zhao Gao Cuiping Li Li Tong Chang Rong Shuai Li Yichao Liu Xingwang Wu |
| author_sort | Xiaomin Zheng |
| collection | DOAJ |
| description | Abstract Background To construct a CT-based radiomics nomogram, enabling the estimation of overall survival (OS) in small cell lung cancer (SCLC) patients and facilitating the identification of prophylactic cranial irradiation (PCI) beneficiaries through risk stratification using the radiomics score (RS). Methods A retrospective recruitment of 375 patients with pathologically confirmed SCLC was conducted across three medical centers, followed by their division into different cohorts. To generate the RS, a series of analyses were performed, including Pearson correlation analysis, univariate Cox analysis, and least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Subsequently, patients were stratified into either the low RS or high RS group, determined by identifying the optimal RS cutoff value. Subsequently, a radiomics nomogram was constructed using the RS, followed by assessments of its discrimination, calibration, clinical utility and reclassification. Moreover, we evaluated the potential benefits of PCI following stratification by RS. Results For the internal and external validation cohorts, the radiomics nomogram (concordance index [C-index]: 0.770, 0.763) outperformed clinical nomogram (C-index: 0.625, 0.570) in predicting OS. Besides, patients with high RS had survival benefit from PCI in both the limited and extensive stage (hazard ratio [HR]: 0.304, 95% confidence interval [CI]: 0.087–1.065, P = 0.003; HR: 0.481, 95% CI: 0.270–0.860, P = 0.019, respectively), while no significant association were observed in patients with low RS. Conclusion A radiomics nomogram based on CT shows potential in predicting OS for individuals with SCLC. The RS could assist in tailoring treatment plans to identify patients likely to benefit from PCI. |
| format | Article |
| id | doaj-art-fd43b40b9b5c477aa80c22b548f3339d |
| institution | OA Journals |
| issn | 1471-2407 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
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| series | BMC Cancer |
| spelling | doaj-art-fd43b40b9b5c477aa80c22b548f3339d2025-08-20T02:30:54ZengBMCBMC Cancer1471-24072024-12-0124111410.1186/s12885-024-13274-7Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort studyXiaomin Zheng0Kaicai Liu1Zhao Gao2Cuiping Li3Li Tong4Chang Rong5Shuai Li6Yichao Liu7Xingwang Wu8Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of ChinaDepartment of Radiology, The Third Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, The Affiliated Bozhou Hospital of Anhui Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityAbstract Background To construct a CT-based radiomics nomogram, enabling the estimation of overall survival (OS) in small cell lung cancer (SCLC) patients and facilitating the identification of prophylactic cranial irradiation (PCI) beneficiaries through risk stratification using the radiomics score (RS). Methods A retrospective recruitment of 375 patients with pathologically confirmed SCLC was conducted across three medical centers, followed by their division into different cohorts. To generate the RS, a series of analyses were performed, including Pearson correlation analysis, univariate Cox analysis, and least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Subsequently, patients were stratified into either the low RS or high RS group, determined by identifying the optimal RS cutoff value. Subsequently, a radiomics nomogram was constructed using the RS, followed by assessments of its discrimination, calibration, clinical utility and reclassification. Moreover, we evaluated the potential benefits of PCI following stratification by RS. Results For the internal and external validation cohorts, the radiomics nomogram (concordance index [C-index]: 0.770, 0.763) outperformed clinical nomogram (C-index: 0.625, 0.570) in predicting OS. Besides, patients with high RS had survival benefit from PCI in both the limited and extensive stage (hazard ratio [HR]: 0.304, 95% confidence interval [CI]: 0.087–1.065, P = 0.003; HR: 0.481, 95% CI: 0.270–0.860, P = 0.019, respectively), while no significant association were observed in patients with low RS. Conclusion A radiomics nomogram based on CT shows potential in predicting OS for individuals with SCLC. The RS could assist in tailoring treatment plans to identify patients likely to benefit from PCI.https://doi.org/10.1186/s12885-024-13274-7RadiomicsSmall cell lung cancerOverall survivalProphylactic cranial irradiation |
| spellingShingle | Xiaomin Zheng Kaicai Liu Zhao Gao Cuiping Li Li Tong Chang Rong Shuai Li Yichao Liu Xingwang Wu Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study BMC Cancer Radiomics Small cell lung cancer Overall survival Prophylactic cranial irradiation |
| title | Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study |
| title_full | Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study |
| title_fullStr | Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study |
| title_full_unstemmed | Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study |
| title_short | Predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients: a multicenter cohort study |
| title_sort | predicting overall survival and prophylactic cranial irradiation benefit in small cell lung cancer patients a multicenter cohort study |
| topic | Radiomics Small cell lung cancer Overall survival Prophylactic cranial irradiation |
| url | https://doi.org/10.1186/s12885-024-13274-7 |
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